What the Data for This Category Looks Like
Data for shipping port intelligent due diligence comes from port authority public berth scheduling systems, container throughput statistics APIs, customs clearance record data, and manifest and ship AIS positioning data submitted by shipping companies. Update rhythms vary: ship dynamic positioning data is updated in real time, berth usage data is updated hourly, and monthly throughput data is updated daily. Document structures are mostly structured tables, supplemented by semi-structured compliance documents. Core fields include berth number, container throughput unit (TEU), ship draft (meters), berthing duration (hours), customs clearance timeliness (hours), and others. Some data comes with additional documents such as port tariff tables and operation specifications.
Constraints Imposed on Tool Calling and Plugins
The varying update frequencies of different data sources require that tool calling be configured with independent trigger intervals per data type, to avoid frequent pulling of low-update-frequency data. Ship dynamic data with high real-time requirements will extend the upper limit of tool calling timeout waiting duration, and also require plugins to support resuming interrupted pulls. The large number of structured fields and inconsistent units require plugins to have built-in field mapping and unit conversion logic to ensure data consistency in due diligence reports. Compliance data needs to connect to port authority-exclusive API interfaces, requiring plugins to support multi-key permission verification to prevent cross-port data unauthorized access. A single due diligence needs to pull multi-dimensional data, which increases tool calling times, so the upper limit of tool calls within a single workflow must be restricted.
How to Set Configuration Values
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
TOOL_TIMEOUT_SECONDS | 30-60 seconds | Ship dynamic data delay must not exceed 1 minute to meet the real-time requirements of due diligence reports |
PLUGIN_DATA_PARSE_MODE | Structured fields first | Most shipping port data is in structured tables; prioritizing field parsing improves data extraction accuracy |
MAX_TOOL_CALL_PER_WORKFLOW | 8-12 | A single due diligence needs to pull four core data types: berth, throughput, ship, and compliance data, plus the permission verification link. Controlling the number of calls avoids timeouts |
PLUGIN_API_REQUEST_RETRY | 2 times | Port authority APIs may experience temporary fluctuations; retries reduce the failure rate of single calls |
TOOL_OUTPUT_FILTER_FIELD | Filter according to due diligence requirements | There are many fields in port data; only retain necessary fields for due diligence such as berth number, TEU volume, and berthing duration to reduce redundant content |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: The returned text stream is plain text without formatting, resulting in monotonous parsed content. Cause: The
PLUGIN_MARKDOWN_OUTPUTconfiguration is not enabled, and structured data is not converted to Markdown table format. - Phenomenon: Stream data is disconnected after being forwarded by an intermediate service, and front-end page data remains fixed. Cause: The
STREAM_TIMEOUT_KEEPALIVEparameter is not set, and the intermediate service does not maintain a long connection, resulting in stream transmission interruption. - Phenomenon: The
packages/plugins/registerfile cannot be found during Docker deployment. Cause: The plugin directory is not mounted, or the used image does not pre-install the official plugin template. The directory must be manually created and the plugin registered.
How to Confirm the Configuration Is Correct
- Run a test workflow call, check if the returned structured data is converted to Markdown table format, and verify that the
PLUGIN_MARKDOWN_OUTPUTconfiguration takes effect. - Simulate an intermediate service forwarding scenario, send continuous stream requests for more than 10 minutes, confirm that the connection is not disconnected, and verify that the long connection configuration is correct.
- View Docker container logs, confirm that the plugin registration directory
/app/packages/plugins/registerexists and the configuration file has been loaded. - Call the specified workflow interface, check that the request parameters only include the API address, key, and workflow ID, and verify that the call parameter configuration is compliant.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.